Exploring Touch-Screen Biometrics for User Identification on Smart Phones
作者： Julio Angulo , Erik Wästlund
DOI: 10.1007/978-3-642-31668-5_10
关键词:
摘要: The use of mobile smart devices for storing sensitive information and accessing online services is increasing. At the same time, methods authenticating users into their that are not only secure, but also privacy user-friendly needed. In this paper, we present our initial explorations lock pattern dynamics as a secure two-factor authentication method. We developed an application Android platform to collect data on way individuals draw patterns touchscreen. Using Random Forest machine learning classifier method achieves average Equal Error Rate (EER) approximately 10.39%, meaning biometrics can be used identifying towards device, could pose threat if users’ biometric handled outside control.
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